| ## Latin part of cc100 corpus |
| This dataset contains parts of the Latin part of the [cc100](http://data.statmt.org/cc-100/) dataset. It was used to train a [RoBERTa-based LM model](https://huggingface.co/pstroe/roberta-base-latin-cased) with huggingface. |
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| ### Preprocessing |
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| I undertook the following preprocessing steps: |
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| - Removal of all "pseudo-Latin" text ("Lorem ipsum ..."). |
| - Use of [CLTK](http://www.cltk.org) for sentence splitting and normalisation. |
| - Retaining only lines containing letters of the Latin alphabet, numerals, and certain punctuation (--> `grep -P '^[A-z0-9ÄÖÜäöüÆ挜ᵫĀāūōŌ.,;:?!\- Ęę]+$' la.nolorem.tok.txt` |
| - deduplication of the corpus |
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| The result is a corpus of ~390 million tokens. |
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| ### Structure |
| The dataset is structured the following way: |
| ``` |
| { |
| "train": { |
| "text": "Solventibus autem illis pullum , dixerunt domini ejus ad illos : Quid solvitis pullum ?", |
| "text": "Errare humanum est ." |
| ... |
| } |
| "test": { |
| "text": "Alia iacta est ." |
| ... |
| } |
| } |
| ``` |
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| ### Contact |
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| For contact, reach out to Phillip Ströbel [via mail](mailto:pstroebel@cl.uzh.ch) or [via Twitter](https://twitter.com/CLingophil). |
